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  Published Paper Details:

  Paper Title

PRECISION AGRICULTURE USING IOT AND CROP PREDICTION SYSTEM

  Authors

  Mr. Jayesh Salve,  Dr. Yogesh Angal

  Keywords

Internet of Things, Sensors, Machine Learning, Agriculture

  Abstract


Agriculture is vital to India's economy but is currently hindered by major challenges such as deteriorating soil fertility, inefficient resource utilization, and limited technology adoption. Intensive agricultural practices, excessive use of chemical fertilizers, and inadequate soil management have led to significant soil degradation and nutrient loss. Water scarcity and unpredictable rainfall further compound these problems, with traditional farming methods often resulting in wasted resources and reduced crop yields. The integration of Internet of Things (IoT) technology in soil fertility monitoring provides a promising solution. IoT systems use smart sensors to continuously monitor crucial soil parameters like nutrient levels, moisture, temperature, and pH in real-time. This data-centric approach improves soil health monitoring, optimizes the use of fertilizers and water, and promotes sustainable farming practices. Additionally, advanced analytics and machine learning can forecast soil health trends, allowing for proactive soil management. By adopting IoT technology, Indian agriculture can enhance soil management, increase resource efficiency, and boost productivity, ensuring food security and economic stability for millions of farmers.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2406231

  Paper ID - 263137

  Page Number(s) - c129-c134

  Pubished in - Volume 12 | Issue 6 | June 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mr. Jayesh Salve,  Dr. Yogesh Angal,   "PRECISION AGRICULTURE USING IOT AND CROP PREDICTION SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 6, pp.c129-c134, June 2024, Available at :http://www.ijcrt.org/papers/IJCRT2406231.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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